Overview
Xinference (Xorbits Inference) is a model serving and inference framework for language, speech, and multimodal models. It supports heterogeneous backends, distributed deployment, and provides OpenAI-compatible RESTful APIs for easy integration.
Key Features
- Support for various inference engines (vLLM, GGML, TensorRT) and efficient use of heterogeneous hardware.
- OpenAI-compatible REST API, RPC, CLI and WebUI with streaming and function-calling support.
- Built-in support for cluster and distributed deployments, with Docker and Helm charts for production setups.
Use Cases
- Self-hosted LLM services to control cost and privacy.
- Enterprise-grade model serving with multi-node, high-throughput requirements.
- Rapid prototyping and experiments via Colab, Docker, or Kubernetes.
Technical Highlights
- Modular architecture with backend plugins and custom model adapters.
- Deep integrations with third-party ecosystems (LangChain, LlamaIndex, Dify) for building RAG and agent workflows.
- Comprehensive docs and examples on ReadTheDocs to accelerate adoption and production migration.